simBaS: Compute Simultaneous Band Scores (SimBaS)
In drkowal/dsp: Dynamic Shrinkage Processes
simBaS R Documentation
Compute Simultaneous Band Scores (SimBaS)
Description
Compute simultaneous band scores (SimBaS) from Meyer et al. (2015, Biometrics).
SimBaS uses MC(MC) simulations of a function of interest to compute the minimum
alpha such that the joint credible bands at the alpha level do not include zero.
This quantity is computed for each grid point (or observation point) in the domain
of the function.
Usage
simBaS(sampFuns)
Arguments
sampFuns
Nsims x m matrix of Nsims MCMC samples and m points along the curve
Value
m x 1 vector of simBaS
Note
The input needs not be curves: the simBaS may be computed
for vectors to achieve a multiplicity adjustment.
The minimum of the returned value, PsimBaS_t,
over the domain t is the Global Bayesian P-Value (GBPV) for testing
whether the function is zero everywhere.
drkowal/dsp documentation built on July 19, 2023, 11:42 a.m.
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| simBaS | R Documentation |
Compute Simultaneous Band Scores (SimBaS)
Description
Compute simultaneous band scores (SimBaS) from Meyer et al. (2015, Biometrics). SimBaS uses MC(MC) simulations of a function of interest to compute the minimum alpha such that the joint credible bands at the alpha level do not include zero. This quantity is computed for each grid point (or observation point) in the domain of the function.
Usage
simBaS(sampFuns)
Arguments
sampFuns |
|
Value
m x 1 vector of simBaS
Note
The input needs not be curves: the simBaS may be computed for vectors to achieve a multiplicity adjustment.
The minimum of the returned value, PsimBaS_t,
over the domain t is the Global Bayesian P-Value (GBPV) for testing
whether the function is zero everywhere.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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